Störk, Stefan

Abstract Background and Aims Clinical models incompletely capture the molecular pathways driving heart failure (HF) progression. This study evaluated whether molecular risk stratification provides incremental prognostic information beyond established clinical predictors in patients with HF. Methods A total of 2432 patients from the Global Congestive Heart Failure (G-CHF) registry with available genotyping, DNA methylation, and proteomic profiling were analysed. Three molecular scores were assessed: a composite cardiovascular polygenic risk score (PRS) from DNA sequence polymorphisms, a methylation risk score (MRS) derived from epigenome-wide associations, and a 23-protein-based score (ProteomicDeath23). Each score was tested individually and in combination with the clinical Meta-Analysis Global Group in Chronic Heart Failure (MAGGIC) risk score and N-terminal pro-B-type natriuretic peptide (NT-proBNP) levels for mortality prediction. Validation was performed in an HF subset of the UK Biobank (UKB). Results Over a median follow-up of 3.0 years in G-CHF, 523 patients died from any cause (7.64 per 100 person-years [PY]). In multivariable analyses, ProteomicDeath23 was the strongest independent predictor of all-cause mortality (hazard ratio [HR] per 1 standard deviation, 2.23), outperforming NT-proBNP (HR 2.00), MRSMortality (HR 1.66), PRSmetaCVD (HR 1.10), and the MAGGIC score (HR 1.70). A model combining ProteomicDeath23 with MAGGIC and NT-proBNP achieved the highest discrimination for mortality (C-index, 0.77). Addition of MRSMortality to this proteomic-clinical model resulted in only small improvements in discrimination (ΔC-index, +0.004, P = .0039), while the PRSmetaCVD provided no incremental benefit. Among patients with low NT-proBNP/MAGGIC score, mortality rates increased from 1.71 to 8.12 per 100 PY across ProteomicDeath23 tertiles. Consistent results were observed in the UKB-HF validation cohort. Conclusion A proteomic score was the strongest molecular predictor of mortality in HF. Integrating proteomic signatures with clinical risk factors significantly improved risk prediction.

ABSTRACT High dose melphalan (HDM) with autologous stem cell transplant is an established treatment for systemic light chain amyloidosis, but its incremental benefit in the era of effective standard intensity therapy is unknown. We retrospectively analyzed 475 transplant‐eligible patients who completed standard intensity treatment with or without HDM within 12 months at six centers in Europe and the United States between 2010 and 2024 to evaluate outcomes by baseline risk factors, hematologic response, and receipt of HDM. Death was an equally competing risk after the 12‐month landmark chosen to address early non‐proportional hazards and to ensure completion of first‐line therapy. BMPC > 20% was associated with inferior outcomes (HR 1.7), and gain/amp 1q with shorter TTP (HR 2.15), whereas other high‐risk FISH abnormalities were not. In multivariable models, VGPR/CR after standard intensity therapy was associated with longer TTP (HR 0.49/0.29), while gain/amp 1q remained independently associated with shorter TTP (HR 2.18). Receipt of daratumumab and HDM were associated with longer TTP (HR 0.44/0.61). HDM benefited patients who had not achieved CR after standard intensity therapy (mTTP 21.0 vs. 5.7 months without HDM), whereas patients already in CR did not benefit. Higher BMPC at diagnosis was associated with earlier progression in patients not receiving HDM (HR 1.9 for 5%–20% and 4.09 for > 20%), a risk attenuated in the HDM cohort. Gain/amp 1q remained associated with shorter TTP regardless of HDM exposure. These findings support a selective role for HDM, primarily benefiting patients with residual disease after standard intensity therapy or higher BMPC burden at diagnosis.